subject:(Sensor Allocation)

North Carolina State University

1. Arney, Kristin M. Global Sensor Management: Allocation of Military Surveillance Assets.

Degree: MS, Operations Research, 2008, North Carolina State University

URL: http://www.lib.ncsu.edu/resolver/1840.16/1318

► The United States uses an integrated missile defense system this system to detect, track, classify and destroy any threats from the air. This system can… (more)

▼ The United States uses an integrated missile defense system this system to detect, track, classify and destroy any threats from the air. This system can be represented by a network of nodes and arcs where the nodes are depictive of the sensors and their required functions and the arcs detail the ability of a sensor to complete a function and pass along the appropriate information to a machine in a subsequent stage in the operation. Given a set of sensor resources, we need to develop a management tool that assigns resources to tasks and functions to maximize both our ability to detect and eliminate threats and our sensor coverage of various regions of earth and space, and that tool needs to be flexible enough to deal with continuous changes to the environment in which it is operating. To that end, we investigate and develop both a total enumeration method generating all possibilities and determining the optimal using our own developed methodology implemented through a Visual Basic code. This brute force method in order to find optimal assignments is not the preferred method due to the potential time constraints associated with scaling up the network and developing a real time decision. However, in this research, we focus on an operational planning model which assists us in understanding the complexities and sensitivities of the problem. Throughout the project, STRATCOM's 4-task sample network is used as a test case. Probability values are randomly generated to be representative of true classified data. In solving the sample network for the static case for missile defense type event, we use a model calculating probabilities based on the Law of Total Probability. Using total enumeration, we are to run all possible allocations for the assignable assets and determine all associated endstage probabilities. From here, we can assign the assets to the appropriate task according to any constraints provided. Constraints could be both lower bounds for tasks 2, 3, and 4 as well as specifications for the endstage probabilities for machines in stage 10 of task 1. Results suggest that the sample network is both easy to solve and very insensitive. We assume that models to solve this instance can be applied to higher order problems with additional assignable assets, different network connections, as well as multiple events. Advisors/Committee Members: Thom J. Hodgson, Committee Chair (advisor), Russell E. King, Committee Member (advisor), E. Downey Brill, Committee Member (advisor), Tim Trainor, Committee Member (advisor).

Subjects/Keywords: sensor; allocation

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APA (6^th Edition):

Arney, K. M. (2008). Global Sensor Management: Allocation of Military Surveillance Assets. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1318

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Arney, Kristin M. “Global Sensor Management: Allocation of Military Surveillance Assets.” 2008. Thesis, North Carolina State University. Accessed March 07, 2021. http://www.lib.ncsu.edu/resolver/1840.16/1318.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Arney, Kristin M. “Global Sensor Management: Allocation of Military Surveillance Assets.” 2008. Web. 07 Mar 2021.

Vancouver:

Arney KM. Global Sensor Management: Allocation of Military Surveillance Assets. [Internet] [Thesis]. North Carolina State University; 2008. [cited 2021 Mar 07]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1318.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Arney KM. Global Sensor Management: Allocation of Military Surveillance Assets. [Thesis]. North Carolina State University; 2008. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1318

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Anna University

2. Kannan G. An integrated framework for Performance enhancement in Hierarchical cluster based Wireless sensor network;.

Degree: An integrated framework for Performance enhancement in Hierarchical cluster based Wireless sensor network, 2015, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/33605

►

Wireless Sensor Networks WSN have been recognized as a newlinerevolutionary technology for interrogating the physical world and committed newlinein a wide variety of applications in… (more)

Subjects/Keywords: Non realtime Data allocation; Wireless Sensor Networks

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APA (6^th Edition):

G, K. (2015). An integrated framework for Performance enhancement in Hierarchical cluster based Wireless sensor network;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/33605

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

G, Kannan. “An integrated framework for Performance enhancement in Hierarchical cluster based Wireless sensor network;.” 2015. Thesis, Anna University. Accessed March 07, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/33605.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

G, Kannan. “An integrated framework for Performance enhancement in Hierarchical cluster based Wireless sensor network;.” 2015. Web. 07 Mar 2021.

Vancouver:

G K. An integrated framework for Performance enhancement in Hierarchical cluster based Wireless sensor network;. [Internet] [Thesis]. Anna University; 2015. [cited 2021 Mar 07]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33605.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

G K. An integrated framework for Performance enhancement in Hierarchical cluster based Wireless sensor network;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/33605

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Georgia Tech

3. Liu, Kaibo. Data fusion for system modeling, performance assessment and improvement.

Degree: PhD, Industrial and Systems Engineering, 2013, Georgia Tech

URL: http://hdl.handle.net/1853/52937

► Due to rapid advancements in sensing and computation technology, multiple types of sensors have been embedded in various applications, on-line automatically collecting massive production information.… (more)

▼ Due to rapid advancements in sensing and computation technology, multiple types of sensors have been embedded in various applications, on-line automatically collecting massive production information. Although this data-rich environment provides great opportunity for more effective process control, it also raises new research challenges on data analysis and decision making due to the complex data structures, such as heterogeneous data dependency, and large-volume and high-dimensional characteristics. This thesis contributes to the area of System Informatics and Control (SIAC) to develop systematic data fusion methodologies for effective quality control and performance improvement in complex systems. These advanced methodologies enable (1) a better handling of the rich data environment communicated by complex engineering systems, (2) a closer monitoring of the system status, and (3) a more accurate forecasting of future trends and behaviors. The research bridges the gaps in methodologies among advanced statistics, engineering domain knowledge and operation research. It also forms close linkage to various application areas such as manufacturing, health care, energy and service systems. This thesis started from investigating the optimal sensor system design and conducting multiple sensor data fusion analysis for process monitoring and diagnosis in different applications. In Chapter 2, we first studied the couplings or interactions between the optimal design of a sensor system in a Bayesian Network and quality management of a manufacturing system, which can improve cost-effectiveness and production yield by considering sensor cost, process change detection speed, and fault diagnosis accuracy in an integrated manner. An algorithm named “Best Allocation Subsets by Intelligent Search” (BASIS) with optimality proof is developed to obtain the optimal sensor allocation design at minimum cost under different user specified detection requirements. Chapter 3 extended this line of research by proposing a novel adaptive sensor allocation framework, which can greatly improve the monitoring and diagnosis capabilities of the previous method. A max-min criterion is developed to manage sensor reallocation and process change detection in an integrated manner. The methodology was tested and validated based on a hot forming process and a cap alignment process. Next in Chapter 4, we proposed a Scalable-Robust-Efficient Adaptive (SERA) sensor allocation strategy for online high-dimensional process monitoring in a general network. A monitoring scheme of using the sum of top-r local detection statistics is developed, which is scalable, effective and robust in detecting a wide range of possible shifts in all directions. This research provides a generic guideline for practitioners on determining (1) the appropriate sensor layout; (2) the “ON” and “OFF” states of different sensors; and (3) which part of the acquired data should be transmitted to and analyzed at the fusion center, when only limited resources are available. To improve the… Advisors/Committee Members: Shi, Jianjun (advisor), Gebraeel, Nagi (committee member), Mei, Yajun (committee member), Kvam, Paul (committee member), Li, Jing (committee member).

Subjects/Keywords: Data fusion; Multiple Sensors; Sensor allocation; Prognostics

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APA (6^th Edition):

Liu, K. (2013). Data fusion for system modeling, performance assessment and improvement. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52937

Chicago Manual of Style (16^th Edition):

Liu, Kaibo. “Data fusion for system modeling, performance assessment and improvement.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 07, 2021. http://hdl.handle.net/1853/52937.

MLA Handbook (7^th Edition):

Liu, Kaibo. “Data fusion for system modeling, performance assessment and improvement.” 2013. Web. 07 Mar 2021.

Vancouver:

Liu K. Data fusion for system modeling, performance assessment and improvement. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1853/52937.

Council of Science Editors:

Liu K. Data fusion for system modeling, performance assessment and improvement. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52937

Delft University of Technology

4. Zhang, H. (author). Sensor Selection and Bit Allocation in WSNs with Realistic Digital Communication Channels.

Degree: 2015, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:280811c3-0e07-4519-af9f-488f938fc5ed

►

For energy management in wireless sensor networks, only the sensors with most informative measurements are activated to operate. How to select sensors that make good… (more)

▼

For energy management in wireless sensor networks, only the sensors with most informative measurements are activated to operate. How to select sensors that make good tradeoff between performance and energy consumption is what many researchers are focusing on. Existing solutions assume analog data model, i.e., the data from sensors collected by a center node, called fusion center, are analog measurements. In practical application, due to limitations of energy of sensors and bandwidth of wireless channel, original measurements are usually compressed before being transmitted to the fusion center. In addition, transmitted signals are usually distorted by wireless channel effects, therefore it is possible that the received data are corrupted with errors. In this thesis, we consider two compressive techniques: one-bit quantization and multi-bit quantization. In one-bit quantization, an indicator message is generated in a sensor according to whether the original measurement is larger than a threshold or not. In multi-bit quantization, the original measurements are quantized to multiple bits and only the most significant bits are reserved. The indicators or the most significant bits are then transmitted through realistic wireless channel to the fusion center for it to process. By these ways, the transmitted signals are digital, and they may flip into opposite values by the effects of wireless channels. For one-bit quantization case, we develop a sensor selection approach, based on convex programming. For multi-bit quantization, we extend the sensor selection to bit allocation and propose a novel algorithm to determine the number of bits to transmit for each sensors, which is also based on convex programming. In both cases we consider the effects of wireless channels, which are characterized as bit error rate. Particularly, for the multi-bit quantization, numerical results show that the bit allocation can further reduce the cost that we defined compared with existing solutions where transmitted data are assumed to be analog.

Telecommunication

Microelectronics & Computer Engineering

Electrical Engineering, Mathematics and Computer Science

Advisors/Committee Members: Leus, G. (mentor), Simonetto, A. (mentor).

Subjects/Keywords: sensor selection; wireless sensor networks; bit allocation; bit error rate; quantization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhang, H. (. (2015). Sensor Selection and Bit Allocation in WSNs with Realistic Digital Communication Channels. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:280811c3-0e07-4519-af9f-488f938fc5ed

Chicago Manual of Style (16^th Edition):

Zhang, H (author). “Sensor Selection and Bit Allocation in WSNs with Realistic Digital Communication Channels.” 2015. Masters Thesis, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:280811c3-0e07-4519-af9f-488f938fc5ed.

MLA Handbook (7^th Edition):

Zhang, H (author). “Sensor Selection and Bit Allocation in WSNs with Realistic Digital Communication Channels.” 2015. Web. 07 Mar 2021.

Vancouver:

Zhang H(. Sensor Selection and Bit Allocation in WSNs with Realistic Digital Communication Channels. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:280811c3-0e07-4519-af9f-488f938fc5ed.

Council of Science Editors:

Zhang H(. Sensor Selection and Bit Allocation in WSNs with Realistic Digital Communication Channels. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:280811c3-0e07-4519-af9f-488f938fc5ed

Penn State University

5. Hu, Nan. Stochastic Resource Allocation Strategies With Uncertain Information In Sensor Networks.

Degree: 2016, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/13593nqh5045

► Support for intelligent and autonomous resource management is one of the key factors to the success of modern sensor network systems. The limited resources, such… (more)

▼ Support for intelligent and autonomous resource management is one of the key factors to the success of modern sensor network systems. The limited resources, such as exhaustible battery life, moderate processing ability and finite bandwidth, restrict the system’s ability to simultaneously accommodate all missions that are submitted by users. In order to achieve the optimal profit in such dynamic conditions, the value of each mission, quantified by its demand on resources and achievable profit, need to be properly evaluated in different situations. In practice, uncertainties may exist in the entire execution of a mission, thus should not be ignored. For a single mission, uncertainty, such as unreliable wireless medium and variable quality of sensor outputs, both demands and profits of the mission may not be deterministic and may be hard to predict precisely. Moreover, throughout the process of execution, each mission may experience multiple states, the transitions between which may be affected by different conditions. Even if the current state of a mission is identified, because multiple potential transitions may occur each leading to different consequences, the subsequent state cannot be confirmed until the transition actually occurs. In systems with multiple missions, each with uncertainties, a more complicated circumstance arises, in which the strategy for resource allocation among missions needs to be modified adaptively and dynamically based on both the present status and potential evolution of all missions. In our research, we take into account several levels of uncertainties that may be faced when allocating limited resources in dynamic environments as described above, where the concepts of missions that require resources may be matched to those as in certain network applications. Our algorithms calculate resource allocation solutions to corresponding scenarios and always aim to achieve high profit, as well as other performance improvements (e.g., resource utilization rate, mission preemption rate, etc.). Given a fixed set of missions, we consider both demands and profits as random variables, whose values follow certain distributions and may change over time. Since the profit is not constant, rather than achieving a specific maximized profit, our objective is to select the optimal set of missions so as to maximize a certain percentile of their combined profit, while constraining the probability of resource capacity violation within an acceptable threshold. Note that, in this scenario, the selection of missions is final and will not change after the decision has been made. Therefore, this static solution only fits in the applications with long-term running missions. For the scenarios with both long-term and short-term missions, to increase the total achieved profit, instead of selecting a fixed mission set, we propose a dynamic strategy which tunes mission selections adaptively to the changing environments. We take a surveillance application as an example, where missions are targeting specific sets of events,… Advisors/Committee Members: Thomas F Laporta, Dissertation Advisor/Co-Advisor, Thomas F Laporta, Committee Chair/Co-Chair, Patrick Drew Mcdaniel, Committee Member, Sencun Zhu, Committee Member, Costas D Maranas, Outside Member.

Subjects/Keywords: stochastic resource allocation; markov decision process; uncertainty; sensor network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hu, N. (2016). Stochastic Resource Allocation Strategies With Uncertain Information In Sensor Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13593nqh5045

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hu, Nan. “Stochastic Resource Allocation Strategies With Uncertain Information In Sensor Networks.” 2016. Thesis, Penn State University. Accessed March 07, 2021. https://submit-etda.libraries.psu.edu/catalog/13593nqh5045.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hu, Nan. “Stochastic Resource Allocation Strategies With Uncertain Information In Sensor Networks.” 2016. Web. 07 Mar 2021.

Vancouver:

Hu N. Stochastic Resource Allocation Strategies With Uncertain Information In Sensor Networks. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Mar 07]. Available from: https://submit-etda.libraries.psu.edu/catalog/13593nqh5045.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hu N. Stochastic Resource Allocation Strategies With Uncertain Information In Sensor Networks. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/13593nqh5045

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Universitat Politècnica de Catalunya

6. Cugueró Escofet, Miguel Àngel. Control structures and optimal sensor/actuator allocation: application in active noise control.

Degree: 2010, Universitat Politècnica de Catalunya

URL: http://hdl.handle.net/10803/5959

► This thesis presents novel and applied work in the area of control and sensor/actuator (S/A) allocation in Active Noise Control (ANC) systems. First, robust identification… (more)

▼ This thesis presents novel and applied work in the area of control and sensor/actuator (S/A) allocation in Active Noise Control (ANC) systems. First, robust identification and control techniques to perform ANC have been applied. The identification phase is based on a control-oriented robust identification approach that considers both parametric and nonparametric descriptions of the system, and quantifies the uncertainty. The controller design compares the feedback (FB), feedforward (FF) and hybrid (FB/FF) control structures. The feedback control is synthesized and evaluated in the robust control framework, and it is designed using H∞ optimal control as a mixed-sensitivity problem. The FF controller is an adaptive identifier, based on the robustly normalized σ-algorithm. Two approaches are developed to decide which control structure is more efficient on a 4-m duct example with broadband noise. In addition, the compromises between identification and control, the inherent limitations of feedback and implementation issues in ANC are explicitly pointed out. Relations between performance, controller order, parametric/nonparametric models and digital signal processor (DSP) implementation are discussed. Theoretical and experimental results on the duct are compared. The gaps that still remain between theory and practice in this type of applications, are also outlined. Furthermore, this work considers the problem of quantifying the location of sensors and actuators in order to control a certain physical system. The measure to determine the best S/A location is based on a closed loop control-oriented criteria, which optimizes overall performance and practical implementation issues. In addition, it should be computed before the actual controller is designed, implemented and tested. The use of this measure minimizes the combinatorial controller testing over all possible S/A combinations. To this end, several measures have been defined which weight the potential closed-loop performance, robustness, plant condition number (input/output (I/O) relative gains) and implementation issues, such as the controller order. These may be computed with standard software, either for Single Input Single Output (SISO) models or Multiple Input Multiple Output (MIMO) models, and may be applied to many engineering problems: mechanics, acoustics, aerospace, etc. Here, these results are also illustrated with the prior ANC example and validated against experimental data. The outcome of applying these measures is the selection of the S/A location which achieves the best closed loop noise attenuation with the lowest possible controller order. Advisors/Committee Members: Universitat Politècnica de Catalunya. Institut d'Organització i Control de Sistemes Industrials, [email protected] (authoremail), false (authoremailshow), Sánchez Peña, Ricardo S. (director).

Subjects/Keywords: active noise control; H control; sensor/ actuator allocation; 531/534

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APA (6^th Edition):

Cugueró Escofet, M. �. (2010). Control structures and optimal sensor/actuator allocation: application in active noise control. (Thesis). Universitat Politècnica de Catalunya. Retrieved from http://hdl.handle.net/10803/5959

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cugueró Escofet, Miguel Àngel. “Control structures and optimal sensor/actuator allocation: application in active noise control.” 2010. Thesis, Universitat Politècnica de Catalunya. Accessed March 07, 2021. http://hdl.handle.net/10803/5959.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cugueró Escofet, Miguel Àngel. “Control structures and optimal sensor/actuator allocation: application in active noise control.” 2010. Web. 07 Mar 2021.

Vancouver:

Cugueró Escofet M�. Control structures and optimal sensor/actuator allocation: application in active noise control. [Internet] [Thesis]. Universitat Politècnica de Catalunya; 2010. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10803/5959.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cugueró Escofet M�. Control structures and optimal sensor/actuator allocation: application in active noise control. [Thesis]. Universitat Politècnica de Catalunya; 2010. Available from: http://hdl.handle.net/10803/5959

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Hong Kong University of Science and Technology

7. Dan, Chulsun. System modeling and analysis of the MAC protocol split phase approach in wireless sensor networks.

Degree: 2014, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-62813 ; https://doi.org/10.14711/thesis-b1274310 ; http://repository.ust.hk/ir/bitstream/1783.1-62813/1/th_redirect.html

► One of the traditional and major concerns in wireless sensor networks (WSNs) is energy efficiency and its related life-time of battery whereas maximizing system throughput… (more)

Subjects/Keywords: Wireless sensor networks ; Radio frequency allocation ; Computer network protocols

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APA (6^th Edition):

Dan, C. (2014). System modeling and analysis of the MAC protocol split phase approach in wireless sensor networks. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-62813 ; https://doi.org/10.14711/thesis-b1274310 ; http://repository.ust.hk/ir/bitstream/1783.1-62813/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Dan, Chulsun. “System modeling and analysis of the MAC protocol split phase approach in wireless sensor networks.” 2014. Thesis, Hong Kong University of Science and Technology. Accessed March 07, 2021. http://repository.ust.hk/ir/Record/1783.1-62813 ; https://doi.org/10.14711/thesis-b1274310 ; http://repository.ust.hk/ir/bitstream/1783.1-62813/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Dan, Chulsun. “System modeling and analysis of the MAC protocol split phase approach in wireless sensor networks.” 2014. Web. 07 Mar 2021.

Vancouver:

Dan C. System modeling and analysis of the MAC protocol split phase approach in wireless sensor networks. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2014. [cited 2021 Mar 07]. Available from: http://repository.ust.hk/ir/Record/1783.1-62813 ; https://doi.org/10.14711/thesis-b1274310 ; http://repository.ust.hk/ir/bitstream/1783.1-62813/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Dan C. System modeling and analysis of the MAC protocol split phase approach in wireless sensor networks. [Thesis]. Hong Kong University of Science and Technology; 2014. Available from: http://repository.ust.hk/ir/Record/1783.1-62813 ; https://doi.org/10.14711/thesis-b1274310 ; http://repository.ust.hk/ir/bitstream/1783.1-62813/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Technology, Sydney

8. Rashid, U. Optimized resource allocation in wireless systems.

Degree: 2013, University of Technology, Sydney

URL: http://hdl.handle.net/10453/23491

► Modern wireless systems rely to a great extent on the judicious distribution of available resources (e.g. power, bandwidth) to meet an ever increasing demand of… (more)

Subjects/Keywords: Wireless sensor networks.; Multi-user communication.; Power allocation.; Convex optimization.

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APA (6^th Edition):

Rashid, U. (2013). Optimized resource allocation in wireless systems. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/23491

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Rashid, U. “Optimized resource allocation in wireless systems.” 2013. Thesis, University of Technology, Sydney. Accessed March 07, 2021. http://hdl.handle.net/10453/23491.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Rashid, U. “Optimized resource allocation in wireless systems.” 2013. Web. 07 Mar 2021.

Vancouver:

Rashid U. Optimized resource allocation in wireless systems. [Internet] [Thesis]. University of Technology, Sydney; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10453/23491.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rashid U. Optimized resource allocation in wireless systems. [Thesis]. University of Technology, Sydney; 2013. Available from: http://hdl.handle.net/10453/23491

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Victoria

9. Xue, Tong. Location aware resource allocation for cognitive radio systems and compressed sensing based multiple access for wireless sensor networks.

Degree: Department of Electrical and Computer Engineering, 2015, University of Victoria

URL: http://hdl.handle.net/1828/5916

► In this thesis, resource allocation and multiple access in cognitive radio (CR) and compressed sensing (CS)-based wireless networks are studied. Energy-efficiency oriented design becomes more… (more)

▼ In this thesis, resource allocation and multiple access in cognitive radio (CR) and compressed sensing (CS)-based wireless networks are studied. Energy-efficiency oriented design becomes more and more important in wireless systems, which motivates us to propose a location-aware power strategy for single user and multiple users in CR systems and a CS-based processing in wireless sensor networks (WSNs) which reduces the number of data transmissions and energy consumption by utilizing sparsity of the transmitted data due to spatial correlation and temporal correlation. In particular, the work on location-aware power allocation in CR system gives a brief overview of the existing power allocation design in the literature and unifies them into a general power allocation framework. The impact of the network topology on the system performance is highlighted, which motivates us to propose a novel location-aware strategy that intelligently utilizes frequency and space opportunities and minimizes the overall power consumption while maintaining the quality of service (QoS) of the primary system. This work shows that in addition to exploring the spectrum holes in time and frequency domains, spatial opportunities can be utilized to further enhance energy efficiency for CR systems. Then the work of resource allocation is extended to finding the power strategy and channel allocation optimization for multiple secondary users in an orthogonal frequency division multiplexing (OFDM) based cognitive radio network. Three different spectrum access methods are considered and utilized adaptively according to the different locations of the secondary users, and we unify these spectrum access methods into a general resource allocation framework. An interference violation test is proposed to decide the parameters in this framework that indicate the set of licensed channels to be sensed. The proposed scheme intelligently utilizes frequency and space opportunities, avoids unnecessary spectrum sensing and minimizes the overall power consumption while maintaining the quality of service of the primary system. The uncertainty of channel state information between the secondary users (SUs) and the primary users (PUs) is also taken into account in the study of power and channel allocation optimization of the SUs. Simulation results validate the effectiveness of the proposed method in terms of energy efficiency and show that enhanced performance can be obtained by utilizing spatial opportunities. The work on CS-based WSNs considers the application of compressed sensing to WSNs for data measurement communication and reconstruction, where N sensor nodes compete for medium access to a single receiver. Sparsity of the sensor data in three domains due to time correlation, space correlation and multiple access are being utilized. A CS-based medium access control (MAC) scheme is proposed and an in depth analysis on this scheme from a physical layer perspective is provided to reveal the impact of communication signal-to-noise ratio on… Advisors/Committee Members: Dong, Xiaodai (supervisor).

Subjects/Keywords: cognitive radio; compressed sensing; green communications; resource allocation; wireless sensor networks

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APA (6^th Edition):

Xue, T. (2015). Location aware resource allocation for cognitive radio systems and compressed sensing based multiple access for wireless sensor networks. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/5916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Xue, Tong. “Location aware resource allocation for cognitive radio systems and compressed sensing based multiple access for wireless sensor networks.” 2015. Thesis, University of Victoria. Accessed March 07, 2021. http://hdl.handle.net/1828/5916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Xue, Tong. “Location aware resource allocation for cognitive radio systems and compressed sensing based multiple access for wireless sensor networks.” 2015. Web. 07 Mar 2021.

Vancouver:

Xue T. Location aware resource allocation for cognitive radio systems and compressed sensing based multiple access for wireless sensor networks. [Internet] [Thesis]. University of Victoria; 2015. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1828/5916.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Xue T. Location aware resource allocation for cognitive radio systems and compressed sensing based multiple access for wireless sensor networks. [Thesis]. University of Victoria; 2015. Available from: http://hdl.handle.net/1828/5916

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Melbourne

10. GUO, XIAOXI. Estimation in wireless sensor networks with security constraints.

Degree: 2016, University of Melbourne

URL: http://hdl.handle.net/11343/91789

► Due to sensors’ limited power budget and an open wireless media, energy constraints and security are two particularly challenging issues in wireless sensor networks (WSNs).… (more)

Subjects/Keywords: security; power allocation; wireless sensor networks; distributed estimation

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APA (6^th Edition):

GUO, X. (2016). Estimation in wireless sensor networks with security constraints. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/91789

Chicago Manual of Style (16^th Edition):

GUO, XIAOXI. “Estimation in wireless sensor networks with security constraints.” 2016. Doctoral Dissertation, University of Melbourne. Accessed March 07, 2021. http://hdl.handle.net/11343/91789.

MLA Handbook (7^th Edition):

GUO, XIAOXI. “Estimation in wireless sensor networks with security constraints.” 2016. Web. 07 Mar 2021.

Vancouver:

GUO X. Estimation in wireless sensor networks with security constraints. [Internet] [Doctoral dissertation]. University of Melbourne; 2016. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/11343/91789.

Council of Science Editors:

GUO X. Estimation in wireless sensor networks with security constraints. [Doctoral Dissertation]. University of Melbourne; 2016. Available from: http://hdl.handle.net/11343/91789

NSYSU

11. Lu, Po-Hsueh. Time Slot allocation for Improving Energy-Efficiency in Multi-hop Layered WSN.

Degree: Master, Electrical Engineering, 2011, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0505111-135142

► Advances in micro-sensor and wireless technology enable small but smart sensors to be developed for wide range environment-monitor applications. Since Sensor nodes only have limited… (more)

Subjects/Keywords: Energy; Wireless sensor network (WSN); Time slot allocation; network lifetime; Multi-hop Infrastructure Network Architecture

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APA (6^th Edition):

Lu, P. (2011). Time Slot allocation for Improving Energy-Efficiency in Multi-hop Layered WSN. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0505111-135142

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lu, Po-Hsueh. “Time Slot allocation for Improving Energy-Efficiency in Multi-hop Layered WSN.” 2011. Thesis, NSYSU. Accessed March 07, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0505111-135142.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lu, Po-Hsueh. “Time Slot allocation for Improving Energy-Efficiency in Multi-hop Layered WSN.” 2011. Web. 07 Mar 2021.

Vancouver:

Lu P. Time Slot allocation for Improving Energy-Efficiency in Multi-hop Layered WSN. [Internet] [Thesis]. NSYSU; 2011. [cited 2021 Mar 07]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0505111-135142.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lu P. Time Slot allocation for Improving Energy-Efficiency in Multi-hop Layered WSN. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0505111-135142

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Rochester

12. Maleki-Tabriz, Nahal. Channel-aware distributed detection in wireless networks with correlated observations.

Degree: PhD, 2017, University of Rochester

URL: http://hdl.handle.net/1802/32254

► We study data fusion in a distributed detection system, consisting of several sensors and a fusion center (FC), that is tasked with solving an underlying… (more)

▼ We study data fusion in a distributed detection system, consisting of several sensors and a fusion center (FC), that is tasked with solving an underlying binary hypothesis testing problem (e.g., detection of a signal source or a target in a field being monitored). Each sensor makes a binary local decision based on its local observation, where these local decisions are digital modulated and transmitted over wireless channels to neighboring sensors and/or the FC. A global binary decision is made at the FC by fusing the data received from sensors. But due to additive Gaussian noise and multipath fading, effect of wireless communication channel, the binary local decisions are corrupted, causing the global decision to be less reliable. Our goal is to maximize the reliability of the global decision. We ask the question: what is the optimal distributed detection system design in the presence of multipath fading and additive Gaussian noise in wireless communication channel? To address this question in this thesis, we identify and address three subproblems as the following: P1) We propose a new class of integrated distributed detection, which harvests cooperative gain (enabled by at most 1-bit information exchange among one-hop neighboring nodes) and improves the performance of the integrated distributed detection in the presence of fading, via pushing the communication bounds. In particular, we propose three schemes: (i) cooperative fusion architecture with Alamouti’s space-time coding (STC) scheme at sensors, (ii) cooperative fusion architecture with signal fusion at sensors, and (iii) parallel fusion architecture with local threshold changing at sensors. For these schemes, we derive the likelihood ratio test (LRT) and majority fusion rules at the FC, and provide upper bounds on the average error probabilities for homogeneous sensors, subject to uncorrelated Gaussian sensing noise, in terms of signal-to-noise ratio (SNR) of communication and sensing channels. Our numerical results show that, when the FC employs the LRT rule, unless for low communication SNR and moderate/high sensing SNR, performance improvement is feasible with the new cooperative and parallel fusion architectures, while scheme (iii) outperforms others. When the FC utilizes the majority rule, such improvement is possible, unless for high sensing SNR. In particular, for very high sensing SNR scheme (i) outperforms, whereas for moderate/low sensing SNR scheme (ii) outperforms others. P2) We consider a binary hypothesis testing problem in an inhomogeneous wireless sensor network, where a fusion center (FC) makes a global decision on the underlying hypothesis. We assume sensors’ observations are correlated Gaussian and sensors are oblivious of such correlation when making decisions. Sensors send their modulated decisions over nonideal fading channels, subject to individual and/or total transmit power constraints. Considering parallelaccess channel (PAC) and multiple-access channel (MAC) models, we derive modified deflection coefficient…

Subjects/Keywords: Distributed detection; Wireless sensor network; Censoring; Space-time coding; Optimal power allocation

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APA (6^th Edition):

Maleki-Tabriz, N. (2017). Channel-aware distributed detection in wireless networks with correlated observations. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/32254

Chicago Manual of Style (16^th Edition):

Maleki-Tabriz, Nahal. “Channel-aware distributed detection in wireless networks with correlated observations.” 2017. Doctoral Dissertation, University of Rochester. Accessed March 07, 2021. http://hdl.handle.net/1802/32254.

MLA Handbook (7^th Edition):

Maleki-Tabriz, Nahal. “Channel-aware distributed detection in wireless networks with correlated observations.” 2017. Web. 07 Mar 2021.

Vancouver:

Maleki-Tabriz N. Channel-aware distributed detection in wireless networks with correlated observations. [Internet] [Doctoral dissertation]. University of Rochester; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1802/32254.

Council of Science Editors:

Maleki-Tabriz N. Channel-aware distributed detection in wireless networks with correlated observations. [Doctoral Dissertation]. University of Rochester; 2017. Available from: http://hdl.handle.net/1802/32254

Columbia University

13. Marasevic, Jelena Rajko. Resource Allocation in Wireless Networks: Theory and Applications.

Degree: 2016, Columbia University

URL: https://doi.org/10.7916/D85T3KP0

► Limited wireless resources, such as spectrum and maximum power, give rise to various resource allocation problems that are interesting both from theoretical and application viewpoints.… (more)

▼ Limited wireless resources, such as spectrum and maximum power, give rise to various resource allocation problems that are interesting both from theoretical and application viewpoints. While the problems in some of the wireless networking applications are amenable to general resource allocation methods, others require a more specialized approach suited to their unique structural characteristics. We study both types of the problems in this thesis. We start with a general problem of alpha-fair packing, namely, the problem of maximizing sum_j {w_j f_α(x_j)}, where w_j > 0, ∀j, and (i) f_α(x_j)=ln(x_j), if α = 1, (ii) f_α(x_j)= {x_j^(1-α)}/{1-α}, if α ≠ 1,α > 0, subject to positive linear constraints of the form Ax ≤ b, x ≥ 0, where A and b are non-negative. This problem has broad applications within and outside wireless networking. We present a distributed algorithm for general alpha that converges to an epsilon-approximate solution in time (number of distributed iterations) that has an inverse polynomial dependence on the approximation parameter epsilon and poly-logarithmic dependence on the problem size. This is the first distributed algorithm for weighted alpha-fair packing with poly-logarithmic convergence in the input size. We also obtain structural results that characterize alpha-fair allocations as the value of alpha is varied. These results deepen our understanding of fairness guarantees in alpha-fair packing allocations, and also provide insights into the behavior of alpha-fair allocations in the asymptotic cases when alpha tends to zero, one, and infinity. With these general tools on hand, we consider an application in wireless networks where fairness is of paramount importance: rate allocation and routing in energy-harvesting networks. We discuss the importance of fairness in such networks and cases where our results on alpha-fair packing apply. We then turn our focus to rate allocation in energy harvesting networks with highly variable energy sources and that are used for applications such as monitoring and tracking. In such networks, it is essential to guarantee fairness over both the network nodes and the time slots and to be as fair as possible – in particular, to require max-min fairness. We first develop an algorithm that obtains a max-min fair rate assignment for any routing that is specified at the input. Then, we consider the problem of determining a "good'' routing. We consider various routing types and either provide polynomial-time algorithms for finding such routings or prove that the problems are NP-hard. Our results reveal an interesting trade-off between the complexities of computation and implementation. The results can also be applied to other related fairness problems. The second part of the thesis is devoted to the study of resource allocation problems that require a specialized approach. The problems we focus on arise in wireless networks employing full-duplex communication – the simultaneous transmission and reception on the same frequency channel. Our primary…

Subjects/Keywords: Resource allocation; Electrical engineering; Energy harvesting; Wireless sensor networks; Operations research; Computer science

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Marasevic, J. R. (2016). Resource Allocation in Wireless Networks: Theory and Applications. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D85T3KP0

Chicago Manual of Style (16^th Edition):

Marasevic, Jelena Rajko. “Resource Allocation in Wireless Networks: Theory and Applications.” 2016. Doctoral Dissertation, Columbia University. Accessed March 07, 2021. https://doi.org/10.7916/D85T3KP0.

MLA Handbook (7^th Edition):

Marasevic, Jelena Rajko. “Resource Allocation in Wireless Networks: Theory and Applications.” 2016. Web. 07 Mar 2021.

Vancouver:

Marasevic JR. Resource Allocation in Wireless Networks: Theory and Applications. [Internet] [Doctoral dissertation]. Columbia University; 2016. [cited 2021 Mar 07]. Available from: https://doi.org/10.7916/D85T3KP0.

Council of Science Editors:

Marasevic JR. Resource Allocation in Wireless Networks: Theory and Applications. [Doctoral Dissertation]. Columbia University; 2016. Available from: https://doi.org/10.7916/D85T3KP0

University of Southern California

14. Chen, Ying. Multichannel data collection for throughput maximization in wireless sensor networks.

Degree: PhD, Electrical Engineering, 2012, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/102974/rec/4262

► Recent studies have shown that wireless sensor networks are fundamentally throughput-limited because of their high densities, scale, and convergecast nature of data collection traffic. Thus,… (more)

▼ Recent studies have shown that wireless sensor networks are fundamentally throughput-limited because of their high densities, scale, and convergecast nature of data collection traffic. Thus, it is of interest to develop high-rate data collection techniques for sensor networks. In this thesis, we make four contributions to address this challenge. ❧ First, through systematic experiments with real WSN hardware (Tmote Sky), we identify the maximum possible throughput for many-to-one (convergecast) data collection in sensor networks as a function of key communication parameters such as packet size, use of acknowledgements, and network topology. ❧ Second, we demonstrate that the maximum achievable network throughput can in fact be attained in practice using a carefully designed mix of routing, frequency allocation and time scheduling. We implement this in the form of Multi-Channel Collection (MCC), the first near-optimal multi-channel time-scheduled protocol for fair, real-time data collection in Wireless Sensor Networks. Compared to state of the art single-channel random-access-based collection protocols for WSN, we show through testbed experiments that this approach offers 48-155% improvement in throughput. We also show how to exploit the time-scheduled nature of this approach for other benefits: dramatically reducing the number of required frequency channels as well as decreasing the energy utilization. ❧ Third, we measure and analyze the link qualities across all channels in an indoor testbed. We observe that, besides the time-varying and location-dependent features, links exhibit a large variety of qualities in different channels. And asymmetry is common (on average, about 30%) for links in all channels. Based on these observations, we argue that channel quality awareness is important for multichannel protocols. ❧ Finally, we design new routing and channel allocation approaches, CQAR (Channel-Quality-Aware Routing) and CQAA (Channel-Quality-Aware Allocation), which take the channel quality into consideration. Both CQAR and CQAA can be incorporated into the MCC framework. According to how MCC uses the channel quality information, we propose three different variants: ICRA (Ideal Channel-based Routing and Allocation), CQAA, CQARA. We evaluate these approaches by simulations based on real testbed measurement. The results show that CQAA and CQARA are able to achieve high overall delivery ratio and normalized throughput. Though ICRA has similar performance when network size is small, it does not scale very well as the other two. CQARA exhibits high efficiency of both channel utilization and energy consumption. This shows the benefits of considering channel quality in multichannel protocols. Advisors/Committee Members: Krishnamachari, Bhaskar (Committee Chair), Govindan, Ramesh (Committee Member), Annavaram, Murali (Committee Member).

Subjects/Keywords: wireless sensor networks; multichannel; TDMA; convergecast; channel quality measurement; scheduling; channel allocation

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APA (6^th Edition):

Chen, Y. (2012). Multichannel data collection for throughput maximization in wireless sensor networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/102974/rec/4262

Chicago Manual of Style (16^th Edition):

Chen, Ying. “Multichannel data collection for throughput maximization in wireless sensor networks.” 2012. Doctoral Dissertation, University of Southern California. Accessed March 07, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/102974/rec/4262.

MLA Handbook (7^th Edition):

Chen, Ying. “Multichannel data collection for throughput maximization in wireless sensor networks.” 2012. Web. 07 Mar 2021.

Vancouver:

Chen Y. Multichannel data collection for throughput maximization in wireless sensor networks. [Internet] [Doctoral dissertation]. University of Southern California; 2012. [cited 2021 Mar 07]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/102974/rec/4262.

Council of Science Editors:

Chen Y. Multichannel data collection for throughput maximization in wireless sensor networks. [Doctoral Dissertation]. University of Southern California; 2012. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/102974/rec/4262

University of Maryland

15. Ward, David Pratt. REMOTE ESTIMATION OVER USE-DEPENDENT CHANNELS.

Degree: Electrical Engineering, 2017, University of Maryland

URL: http://hdl.handle.net/1903/20314

► This dissertation investigates communication and estimation over channels whose transmission characteristics change with previous channel utilization and transmissions. We define three classes of channels: 1)… (more)

▼ This dissertation investigates communication and estimation over channels whose transmission characteristics change with previous channel utilization and transmissions. We define three classes of channels: 1) Use-dependent discrete switching channels, 2) Use-dependent packet-drop channels, and 3) Shared-resource multiple packet-drop channels. In each of these classes of channels, there is a channel state that determines the channel's transmission characteristics. For use-dependent discrete switching and packet-drop channels, there is a channel transmission policy that calculates the input to the channel state system. There is also an encoding policy that calculates the data to transmit over the channel. For these channels, we explore the properties, structure, and calculation of optimal channel transmission and encoding policies. A discrete channel and a finite state machine, the channel state, form a use-dependent discrete switching channel. For each channel state, the discrete channel has different symbol transmission statistics. The transmission policy has access to the output of the discrete channel. For a remote estimation problem with a conditional entropy cost over these channels, we show a partial separation between the design of transmission policies and encoding policies. Also, the optimal transmission and encoding policy are calculated for a specific use-dependent discrete switching channel. A Bernoulli packet-drop link and a finite state machine, the channel state, form a use-dependent packet-drop channel. The channel state influences transmission performance by adjusting the probability of a packet-drop on the Bernoulli link. Each channel state corresponds to a specific drop probability. For a remote estimation problem with an expected mean-squared error cost over these channels, the structure of optimal transmission policies is explored. For shared-resource multiple packet-drop channels, the channel has various modes of operation for transmitting multiple sensor measurements to an estimator over Bernoulli packet-drop links. Each mode of operation, or channel state, prioritizes the transmission of some sensor measurements over others. The channel state sets transmission priorities by adjusting the probability of packet-drop for each Bernoulli packet-drop link. In a given channel state, one sensor's drop probability is low, while another sensor's drop probability is high. For a remote estimation problem of transmitting the state of multiple systems over these channels, algorithms are presented to design the transition between transmission prioritization, channel states, to simultaneously stabilize the expected mean-squared estimation error of all the systems. A detailed application of these results to operator support system design and a literature review of systematic design methods for decision support tools are presented. Advisors/Committee Members: Martins, Nuno C (advisor).

Subjects/Keywords: Electrical engineering; Attention Allocation; Markov Chain Design; Remote Estimation; Sensor Selection; Support System Design

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APA (6^th Edition):

Ward, D. P. (2017). REMOTE ESTIMATION OVER USE-DEPENDENT CHANNELS. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/20314

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ward, David Pratt. “REMOTE ESTIMATION OVER USE-DEPENDENT CHANNELS.” 2017. Thesis, University of Maryland. Accessed March 07, 2021. http://hdl.handle.net/1903/20314.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ward, David Pratt. “REMOTE ESTIMATION OVER USE-DEPENDENT CHANNELS.” 2017. Web. 07 Mar 2021.

Vancouver:

Ward DP. REMOTE ESTIMATION OVER USE-DEPENDENT CHANNELS. [Internet] [Thesis]. University of Maryland; 2017. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1903/20314.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ward DP. REMOTE ESTIMATION OVER USE-DEPENDENT CHANNELS. [Thesis]. University of Maryland; 2017. Available from: http://hdl.handle.net/1903/20314

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Saskatchewan

16. Su, Jian. Distributed estimation in wireless sensor networks under a semi-orthogonal multiple access technique.

Degree: 2014, University of Saskatchewan

URL: http://hdl.handle.net/10388/ETD-2014-09-1753

► This thesis is concerned with distributed estimation in a wireless sensor network (WSN) with analog transmission. For a scenario in which a large number of… (more)

▼ This thesis is concerned with distributed estimation in a wireless sensor network (WSN) with analog transmission. For a scenario in which a large number of sensors are deployed under a limited bandwidth constraint, a semi-orthogonal multiple-access channelization (MAC) approach is proposed to provide transmission of observations from K sensors to a fusion center (FC) via N orthogonal channels, where K≥N. The proposed semi-orthogonal MAC can be implemented with either fixed sensor grouping or adaptive sensor grouping. The mean squared error (MSE) is adopted as the performance criterion and it is first studied under equal power allocation. The MSE can be expressed in terms of two indicators: the channel noise suppression capability and the observation noise suppression capability. The fixed version of the semi-orthogonal MAC is shown to have the same channel noise suppression capability and two times the observation noise suppression capability when compared to the orthogonal MAC under the same bandwidth resource. For the adaptive version, the performance improvement of the semi-orthogonal MAC over the orthogonal MAC is even more significant. In fact, the semi-orthogonal MAC with adaptive sensor grouping is shown to perform very close to that of the hybrid MAC, while requiring a much smaller amount of feedback. Another contribution of this thesis is an analysis of the behavior of the average MSE in terms of the number of sensors, namely the scaling law, under equal power allocation. It is shown that the proposed semi-orthogonal MAC with adaptive sensor grouping can achieve the optimal scaling law of the analog WSN studied in this thesis. Finally, improved power allocations for the proposed semi-orthogonal MAC are investigated. First, the improved power allocations in each sensor group for different scenarios are provided. Then an optimal solution of power allocation among sensor groups is obtained by the convex optimization theory, and shown to outperform equal power allocation. The issue of balancing between the performance improvement and extra feedback required by the improved power allocation is also thoroughly discussed. Advisors/Committee Members: Nguyen, Ha H., Mehr, Aryan S., Bui, Francis M., Zhang, Chris.

Subjects/Keywords: Wireless sensor network; distributed estimation; multiple access channelization; semi-orthogonal; mean square error; scaling law; power allocation

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APA (6^th Edition):

Su, J. (2014). Distributed estimation in wireless sensor networks under a semi-orthogonal multiple access technique. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/ETD-2014-09-1753

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Su, Jian. “Distributed estimation in wireless sensor networks under a semi-orthogonal multiple access technique.” 2014. Thesis, University of Saskatchewan. Accessed March 07, 2021. http://hdl.handle.net/10388/ETD-2014-09-1753.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Su, Jian. “Distributed estimation in wireless sensor networks under a semi-orthogonal multiple access technique.” 2014. Web. 07 Mar 2021.

Vancouver:

Su J. Distributed estimation in wireless sensor networks under a semi-orthogonal multiple access technique. [Internet] [Thesis]. University of Saskatchewan; 2014. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/10388/ETD-2014-09-1753.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Su J. Distributed estimation in wireless sensor networks under a semi-orthogonal multiple access technique. [Thesis]. University of Saskatchewan; 2014. Available from: http://hdl.handle.net/10388/ETD-2014-09-1753

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

17. Mukherjee, Kushal. SUPERVISORY DECISION AND CONTROL OF LARGE-SCALE MULTI-AGENT SYSTEMS.

Degree: 2011, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/12078

► This dissertation addresses the general problem of optimally controlling a large number of reactive autonomous agents under certain performance constraints. The proposed solution is to… (more)

Subjects/Keywords: multi-agent systems; sensor networks; pattern classification; symbolic dynamics; sonar image; statistical mechanics; task allocation; optimization

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APA (6^th Edition):

Mukherjee, K. (2011). SUPERVISORY DECISION AND CONTROL OF LARGE-SCALE MULTI-AGENT SYSTEMS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12078

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Mukherjee, Kushal. “SUPERVISORY DECISION AND CONTROL OF LARGE-SCALE MULTI-AGENT SYSTEMS.” 2011. Thesis, Penn State University. Accessed March 07, 2021. https://submit-etda.libraries.psu.edu/catalog/12078.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Mukherjee, Kushal. “SUPERVISORY DECISION AND CONTROL OF LARGE-SCALE MULTI-AGENT SYSTEMS.” 2011. Web. 07 Mar 2021.

Vancouver:

Mukherjee K. SUPERVISORY DECISION AND CONTROL OF LARGE-SCALE MULTI-AGENT SYSTEMS. [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Mar 07]. Available from: https://submit-etda.libraries.psu.edu/catalog/12078.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mukherjee K. SUPERVISORY DECISION AND CONTROL OF LARGE-SCALE MULTI-AGENT SYSTEMS. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12078

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Colorado

18. Gehly, Steven. Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods.

Degree: PhD, Aerospace Engineering Sciences, 2016, University of Colorado

URL: https://scholar.colorado.edu/asen_gradetds/148

► The use of near Earth space has increased dramatically in the past few decades, and operational satellites are an integral part of modern society. The… (more)

▼ The use of near Earth space has increased dramatically in the past few decades, and operational satellites are an integral part of modern society. The increased presence in space has led to an increase in the amount of orbital debris, which poses a growing threat to current and future space missions. Characterization of the debris environment is crucial to our continued use of high value orbit regimes such as the geosynchronous (GEO) belt. Objects in GEO pose unique challenges, by virtue of being densely spaced and tracked by a limited number of sensors in short observation windows. This research examines the use of a new class of multitarget filters to approach the problem of orbit determination for the large number of objects present. The filters make use of a recently developed mathematical toolbox derived from point process theory known as Finite Set Statistics (FISST). Details of implementing FISST-derived filters are discussed, and a qualitative and quantitative comparison between FISST and traditional multitarget estimators demonstrates the suitability of the new methods for space object estimation. Specific challenges in the areas of sensor allocation and initial orbit determination are addressed in the framework. The sensor allocation scheme makes use of information gain functionals as formulated for FISST to efficiently collect measurements on the full multitarget system. Results from a simulated network of three ground stations tracking a large catalog of geosynchronous objects demonstrate improved performance as compared to simpler, non-information theoretic tasking schemes. Further studies incorporate an initial orbit determination technique to initiate new tracks in the multitarget filter. Together with a sensor allocation scheme designed to search for new targets and maintain knowledge of the existing catalog, the method comprises a solution to the search-detect-track problem. Simulation results for a single sensor case show that the problem can be solved for multiple objects with no a priori information, even in the presence of missed detections and false measurements. Collectively, this research seeks to advance the capabilities of FISST-derived filters for use in the estimation of geosynchronous space objects; additional directions for future research are presented in the conclusion. Advisors/Committee Members: Penina Axelrad, Brandon Jones, Jay McMahon, Nisar Ahmed, Gregory Beylkin.

Subjects/Keywords: Geosynchronous Orbit; Information Gain; Initial Orbit Determination; Multitarget Filtering; Random Finite Sets; Sensor Allocation; Aerospace Engineering

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APA (6^th Edition):

Gehly, S. (2016). Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/asen_gradetds/148

Chicago Manual of Style (16^th Edition):

Gehly, Steven. “Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods.” 2016. Doctoral Dissertation, University of Colorado. Accessed March 07, 2021. https://scholar.colorado.edu/asen_gradetds/148.

MLA Handbook (7^th Edition):

Gehly, Steven. “Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods.” 2016. Web. 07 Mar 2021.

Vancouver:

Gehly S. Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Mar 07]. Available from: https://scholar.colorado.edu/asen_gradetds/148.

Council of Science Editors:

Gehly S. Estimation of Geosynchronous Space Objects Using Finite Set Statistics Filtering Methods. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/asen_gradetds/148

Hong Kong University of Science and Technology

19. Yang, Yanyan. Channel assignment and its applications in wireless networks.

Degree: 2010, Hong Kong University of Science and Technology

URL: http://repository.ust.hk/ir/Record/1783.1-6749 ; https://doi.org/10.14711/thesis-b1106624 ; http://repository.ust.hk/ir/bitstream/1783.1-6749/1/th_redirect.html

► Wireless technologies grow rapidly and benefit almost every aspect of our daily lives. To fulfill various application requirements, researchers have proposed and developed many different… (more)

▼ Wireless technologies grow rapidly and benefit almost every aspect of our daily lives. To fulfill various application requirements, researchers have proposed and developed many different communication protocols. The assignments of wireless channels, which are known as the most precious resources in wireless networks, cause intensive research interests from both academic and industrial fields. Every different kind of wireless network has its own feature, which puts extra constraints on the channel assignment. As the emerging technology, wireless sensor networks (WSNs) are well known for its feature of easy deployment, low cost and etc. Since most of the commercial WSNs-oriented products using ISM 2.4GHz band for communications, the communication costs in terms of energy and time become a very challenging issue for real applications. To tackle this problem, we first comprehensively study the channel feature in WSNs. Then proposed Double-Plate, a fair channel assignment algorithm, which aims to ensure high throughput and fairness simultaneously. With the observation of inefficient channel usage among the full spectrum band, the new concept of cognitive radio networks (CRNs) is initiated by researchers, where spectrum users are divided into primary users with license and secondary users without license but can opportunistically use the spectrum. While CRNs calls for spectrums sensing from secondary users before they can use any available pre-assigned channels to primary users, the spectrum sensing technology becomes one key issue for a successful deployment in CRNs. To utilize the WSNs for spectrum sensing, we initiate a cooperative boundary detection algorithm which utilizes WSNs to detect the signal boundary of each primary user. We then also study the more complicated case where multiple primary channels exist. This scenario is more realistic in practice. While more sensors can definitely provide more accurate sensing result per primary channel, we must find a best tradeoff between the sensed number of primary channels and the number of sensors that are needed. By analyzing the sensitivities of the parameters to the sensing performance, we conclud that a regular deployment with more voronoi neighbors can always provide more benefits under a restricted number of sensors. Inspired by the analysis, we then propose SCAS algorithm to solve the problem with promising results. Our proposed approaches can be further replanted to other application areas where WSNs and CRNs are utilized, and we believe employing the proposed channel assignment algorithms will significantly improve the efficiency and performance of the network systems in their practical usage. Keywords: wireless networks, channel assignment, Wireless Sensor Networks, Cognitive Radio Networks

Subjects/Keywords: Radio frequency allocation ; Wireless sensor networks ; Cognitive radio networks

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APA (6^th Edition):

Yang, Y. (2010). Channel assignment and its applications in wireless networks. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-6749 ; https://doi.org/10.14711/thesis-b1106624 ; http://repository.ust.hk/ir/bitstream/1783.1-6749/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yang, Yanyan. “Channel assignment and its applications in wireless networks.” 2010. Thesis, Hong Kong University of Science and Technology. Accessed March 07, 2021. http://repository.ust.hk/ir/Record/1783.1-6749 ; https://doi.org/10.14711/thesis-b1106624 ; http://repository.ust.hk/ir/bitstream/1783.1-6749/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yang, Yanyan. “Channel assignment and its applications in wireless networks.” 2010. Web. 07 Mar 2021.

Vancouver:

Yang Y. Channel assignment and its applications in wireless networks. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2010. [cited 2021 Mar 07]. Available from: http://repository.ust.hk/ir/Record/1783.1-6749 ; https://doi.org/10.14711/thesis-b1106624 ; http://repository.ust.hk/ir/bitstream/1783.1-6749/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang Y. Channel assignment and its applications in wireless networks. [Thesis]. Hong Kong University of Science and Technology; 2010. Available from: http://repository.ust.hk/ir/Record/1783.1-6749 ; https://doi.org/10.14711/thesis-b1106624 ; http://repository.ust.hk/ir/bitstream/1783.1-6749/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Michigan

20. Kreucher, Christopher M. An information-based approach to sensor resource allocation.

Degree: PhD, Electrical engineering, 2005, University of Michigan

URL: http://hdl.handle.net/2027.42/124852

► This work addresses the problem of scheduling the resources of agile sensors. We advocate an information-based approach, where sensor tasking decisions are made based on… (more)

▼ This work addresses the problem of scheduling the resources of agile sensors. We advocate an information-based approach, where sensor tasking decisions are made based on the principle that actions should be chosen to maximize the information expected to be extracted from the scene. This approach provides a single metric able to automatically capture the complex tradeoffs involved when choosing between possible sensor allocations. We apply this principle to the problem of tracking multiple moving ground targets from an airborne sensor. The aim is to task the sensor to most efficiently estimate both the number of targets and the state of each target simultaneously. The state of a target includes kinematic quantities like position and velocity and also discrete variables such as target class and target mode (e.g., turning or stopped). In many experiments presented herein, target motion is taken from real recorded vehicle histories. The information-based approach to sensor management involves the development of three interrelated elements. First, we form the joint multitarget probability density (JMPD), which is the fundamental entity capturing knowledge about the number of targets and the states of the individual targets. Unlike traditional methods, the JMPD does not assume any independence, but instead explicitly models coupling in uncertainty between target states, between targets, and between target state and the number of targets. Furthermore, the JMPD is not assumed to be of some parametric form (e.g., Gaussian). Because of this generality, the JMPD must be estimated using sophisticated numerical techniques. Our representation of the JMPD is via a novel multitarget particle filter with an adaptive sampling scheme. Second, we use the estimate of the JMPD to perform (myopic) sensor resource allocation. The philosophy is to choose actions that are expected to maximize information extracted from the scene. This metric trades automatically between allocations that provide different types of information (e.g., actions that provide information about position versus actions that provide information about target class) without ad hoc assumptions as to the relative utility of each. Finally, we extend the information-based paradigm to non-myopic sensor scheduling. This extension is computationally challenging due to an exponential growth in action sequences with horizon time. We investigate two approximate methods to address this complexity. First, we directly approximate Bellman's equation by replacing the value-to-go function with an easily computed function of the ability to gain information in the future. Second, we apply reinforcement learning as a means of learning a non-myopic policy from a set of example episodes. Advisors/Committee Members: III, Alfred O. Hero, (advisor).

Subjects/Keywords: Approach; Based; Information Theory; Multitarget Tracking; Particle Filtering; Resource Allocation; Sensor

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APA (6^th Edition):

Kreucher, C. M. (2005). An information-based approach to sensor resource allocation. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/124852

Chicago Manual of Style (16^th Edition):

Kreucher, Christopher M. “An information-based approach to sensor resource allocation.” 2005. Doctoral Dissertation, University of Michigan. Accessed March 07, 2021. http://hdl.handle.net/2027.42/124852.

MLA Handbook (7^th Edition):

Kreucher, Christopher M. “An information-based approach to sensor resource allocation.” 2005. Web. 07 Mar 2021.

Vancouver:

Kreucher CM. An information-based approach to sensor resource allocation. [Internet] [Doctoral dissertation]. University of Michigan; 2005. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/2027.42/124852.

Council of Science Editors:

Kreucher CM. An information-based approach to sensor resource allocation. [Doctoral Dissertation]. University of Michigan; 2005. Available from: http://hdl.handle.net/2027.42/124852

Vanderbilt University

21. Kinnebrew, John S. Global Sensor Web Coordination and Control Using Multi-agent Systems.

Degree: PhD, Computer Science, 2010, Vanderbilt University

URL: http://hdl.handle.net/1803/11857

► The construction of a collaborative sensor web that integrates sensor networks around the globe promises unprecedented advantages for today's scientists in studying and predicting weather,… (more)

▼ The construction of a collaborative sensor web that integrates sensor networks around the globe promises unprecedented advantages for today's scientists in studying and predicting weather, natural disasters, and climate change. A particularly challenging problem in the design of a global sensor web is coordination and control of these heterogeneous and distributed resources for adaptive collaboration in achieving complex science tasks. To address this problem, this dissertation presents the design and integration of novel coordination and adaptation mechanisms in a multi-agent system. This system, the Multi-agent Architecture for Coordinated Responsive Observations (MACRO), provides a powerful framework for the coordination, control, and adaptive operation of a global sensor web. We present three major contributions to research in the fields of multi-agent systems and autonomous planning and scheduling. First, we provide a novel multi-agent coordination mechanism based on brokered task auctions with efficient subcontracting. We present the results of experiments verifying the scalability and performance of this mechanism in yielding fair and efficient allocations of complex, hierarchically-decomposable, sensor web tasks. Further, these results suggest the incorporation of an appropriate decommitment mechanism to improve task allocation performance for long-running sensor web tasks. Next, we present the Spreading Activation Partial Order Planner (SA-POP), which is a novel decision-theoretic planning and scheduling service for local sensor network agents operating on shared computational resources. Experiments verify the ability of this service to produce high expected utility plans even under resource and scheduling constraints. Finally, we present the integration of task allocation and planning/scheduling mechanisms through agent design and organization, definition of standardized task meta-data, and agent coordination protocols. We verify the system integration through additional experiments and a case study. Experimental results illustrate the efficiency of context-sensitive planning/scheduling coordination. Further, the case study illustrates the ability of an integrated MACRO system to provide effective coordination, control, and dynamic adaptation in a global sensor web. Advisors/Committee Members: Prof Julie A. Adams (committee member), Prof Lawrence W. Dowdy (committee member), Prof Douglas C. Schmidt (committee member), Prof Quan Wen (committee member), Prof Gautam Biswas (Committee Chair).

Subjects/Keywords: task allocation; autonomous planning and scheduling; multi-agent systems; agent negotiation; sensor webs

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APA (6^th Edition):

Kinnebrew, J. S. (2010). Global Sensor Web Coordination and Control Using Multi-agent Systems. (Doctoral Dissertation). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/11857

Chicago Manual of Style (16^th Edition):

Kinnebrew, John S. “Global Sensor Web Coordination and Control Using Multi-agent Systems.” 2010. Doctoral Dissertation, Vanderbilt University. Accessed March 07, 2021. http://hdl.handle.net/1803/11857.

MLA Handbook (7^th Edition):

Kinnebrew, John S. “Global Sensor Web Coordination and Control Using Multi-agent Systems.” 2010. Web. 07 Mar 2021.

Vancouver:

Kinnebrew JS. Global Sensor Web Coordination and Control Using Multi-agent Systems. [Internet] [Doctoral dissertation]. Vanderbilt University; 2010. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1803/11857.

Council of Science Editors:

Kinnebrew JS. Global Sensor Web Coordination and Control Using Multi-agent Systems. [Doctoral Dissertation]. Vanderbilt University; 2010. Available from: http://hdl.handle.net/1803/11857

King's College London (University of London)

22. Aijaz, Adnan. Protocol design for machine-to-machine networks.

Degree: PhD, 2014, King's College London (University of London)

URL: https://kclpure.kcl.ac.uk/portal/en/theses/protocol-design-for-machinetomachine-networks(afa66e02-39e0-47fc-b496-e5e7bd86f74c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631341

► Machine-to-Machine (M2M) communications is an emerging communication paradigm that provides ubiquitous connectivity between devices along with an ability to communicate autonomously without human intervention. M2M… (more)

▼ Machine-to-Machine (M2M) communications is an emerging communication paradigm that provides ubiquitous connectivity between devices along with an ability to communicate autonomously without human intervention. M2M communications acts as an enabling technology for the practical realization of Internet-of-Things (IoT). However, M2M communications differs from conventional Human-to-Human (H2H) communications due to its unique features such as massive number of connected devices, small data transmissions, little or no mobility, requirements of high energy efficiency and reliability, etc. These features create various challenges for existing communication networks which are primarily optimized for H2H communications. Therefore, novel solutions are required to meet the key requirements of M2M communications. In addition, enhancements are required at different layers of the protocol stack to support co-existence of M2M devices and H2H users. The main objective of this research is to investigate the challenges of M2M communications in two broad types of M2M networks; capillary M2M and cellular M2M networks. The primary focus is on developing novel solutions, algorithms, and protocol enhancements for successfully enabling M2M communications. Since cognitive radio technology is very promising for M2M communications, special emphasis is on capillary M2M networks with cognitive radio based Physical layer. Besides, the focus is also on exploring new frontiers in M2M communications. This thesis covers different aspects of M2M communications. Considering the motivation for cognitive M2M and service requirements of M2M devices, two cognitive MAC protocols have been proposed. The first protocol is centralized in nature and utilizes a specialized frame structure for co-existence with the primary network as well as handling different Quality-of-Service (QoS) requirements of M2M devices. The second protocol is a distributed cognitive MAC protocol, which is specially designed to provide high energy efficiency and reliability for M2M devices operating in challenging wireless environments. Both protocols explicitly account for the peculiarities of cognitive radio environments. The protocols have been evaluated using analytical modeling and simulation studies. Recently IETF has standardized a specially designed routing protocol for capillary M2M networks, known as RPL (Routing for Low Power and Lossy Networks). RPL is emerging as the de facto routing protocol for many M2M applications including the smart grid. On the other hand, the application of cognitive radio for smart grid communication is under active investigation in the research community. Hence, it is important to investigate the applicability and adaptation of RPL in cognitive radio environments. In this regard, an enhanced RPL based routing protocol has been proposed for cognitive radio enabled smart grid networks. The enhanced protocol provides novel modifications to RPL for protecting the primary users along with meeting the utility requirements of the secondary network. An…

Subjects/Keywords: 621.382; machine-to-machine, M2M, wireless sensor networks, resource allocation, SC-FDMA, nanonetworks, diffusion, smart grid, cognitive radio networks, routing, medium access control, PRMA, energy efficiency, LTE

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APA (6^th Edition):

Aijaz, A. (2014). Protocol design for machine-to-machine networks. (Doctoral Dissertation). King's College London (University of London). Retrieved from https://kclpure.kcl.ac.uk/portal/en/theses/protocol-design-for-machinetomachine-networks(afa66e02-39e0-47fc-b496-e5e7bd86f74c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631341

Chicago Manual of Style (16^th Edition):

Aijaz, Adnan. “Protocol design for machine-to-machine networks.” 2014. Doctoral Dissertation, King's College London (University of London). Accessed March 07, 2021. https://kclpure.kcl.ac.uk/portal/en/theses/protocol-design-for-machinetomachine-networks(afa66e02-39e0-47fc-b496-e5e7bd86f74c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631341.

MLA Handbook (7^th Edition):

Aijaz, Adnan. “Protocol design for machine-to-machine networks.” 2014. Web. 07 Mar 2021.

Vancouver:

Aijaz A. Protocol design for machine-to-machine networks. [Internet] [Doctoral dissertation]. King's College London (University of London); 2014. [cited 2021 Mar 07]. Available from: https://kclpure.kcl.ac.uk/portal/en/theses/protocol-design-for-machinetomachine-networks(afa66e02-39e0-47fc-b496-e5e7bd86f74c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631341.

Council of Science Editors:

Aijaz A. Protocol design for machine-to-machine networks. [Doctoral Dissertation]. King's College London (University of London); 2014. Available from: https://kclpure.kcl.ac.uk/portal/en/theses/protocol-design-for-machinetomachine-networks(afa66e02-39e0-47fc-b496-e5e7bd86f74c).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631341

23. Karami, Amin. Utilization and Comparison of Multi Attribute Decision Making Techniques to Rank Bayesian Network Options.

Degree: Humanities and Informatics, 2011, University of Skövde

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5276

► A fusion system sometimes requires the capability to represent the temporal changes of uncertain sensory information in dynamic and uncertain situation. A Bayesian Network… (more)

Subjects/Keywords: Multi Attribute Decision Making (MADM); Bayesian Networks; Sensor Allocation; AHP; Entropy; TOPSIS; SAW; Information Systems; Systemvetenskap, informationssystem och informatik; Information Systems; Systemvetenskap, informationssystem och informatik

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APA (6^th Edition):

Karami, A. (2011). Utilization and Comparison of Multi Attribute Decision Making Techniques to Rank Bayesian Network Options. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5276

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Karami, Amin. “Utilization and Comparison of Multi Attribute Decision Making Techniques to Rank Bayesian Network Options.” 2011. Thesis, University of Skövde. Accessed March 07, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5276.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Karami, Amin. “Utilization and Comparison of Multi Attribute Decision Making Techniques to Rank Bayesian Network Options.” 2011. Web. 07 Mar 2021.

Vancouver:

Karami A. Utilization and Comparison of Multi Attribute Decision Making Techniques to Rank Bayesian Network Options. [Internet] [Thesis]. University of Skövde; 2011. [cited 2021 Mar 07]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5276.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Karami A. Utilization and Comparison of Multi Attribute Decision Making Techniques to Rank Bayesian Network Options. [Thesis]. University of Skövde; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-5276

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

24. Katsilieris, F. Sensor management for surveillance and tracking: An operational perspective.

Degree: 2015, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e

► Radars have gained increased popularity as sensing devices due to their unique capability to sense objects of interest at very long distances and without being… (more)

▼ Radars have gained increased popularity as sensing devices due to their unique capability to sense objects of interest at very long distances and without being severely limited by weather conditions. Advances in technology have led to the possibility of choosing the sensing parameters of a radar in order to further improve its performance. Especially in the class of active phased array radars, the control of the agile beam is of paramount importance. By controlling the radar beam improved estimation results can be achieved leading to better situation awareness. In the literature, several approaches to sensor (including radar) management can be found. These can be roughly grouped into: a) rule-based or heuristics; b) task-based; c) information-driven; and d) risk/threat-based. These approaches are compared in this thesis and it is found that there is not a single approach that is both Bayes-optimal and takes into account explicitly the user requirements in different operational contexts. In order to overcome the challenges with the existing approaches, this thesis proposes managing the uncertainty in higher-level quantities (as per the JDL model) that are directly of interest to the operator and directly related to the operational goal of the radar system. The proposed approach is motivated by the threat assessment process, which is an integral part of defence missions. Accordingly, a prominent example of a commonly used higher-level quantity is the threat-level of a target. The key advantage of the proposed approach is that it results in Bayes-optimal sensor control that also takes into account the operational context in a model-based manner. In other words: a) a radar operator can select the aspects of threat that are relevant to the operational context at hand; and b) external information about the arrival of targets and other scenario parameters can be included when defining the models used in the signal processing algorithms, leading to context-adaptive sensor management. The proposed approach is initially used in simple tracking examples in order to demonstrate its potential and flexibility. Subsequently, it is used for controlling an agile radar beam such that multiple targets can be tracked while taking into account detection uncertainty and presence of spurious measurements. In these examples, a state-of-the art signal processing algorithm is used, i.e. a CB-MeMBer filter. Finally, the proposed approach is used for area surveillance, i.e. for detection and tracking of multiple targets while taking into account detection uncertainty and presence of spurious measurements. In this context, a density that estimates where any undetected targets might be (denoted as unDTD) plays a key role in balancing the search-to-track time ratio. The presented examples have been drawn both from the civilian and the military domain. From the civilian domain, air-traffic-control examples are shown where threat is modeled based on how fast and how close to each other two aircrafts might come. From the defence domain, asset… Advisors/Committee Members: Yarovoy, A., Driessen, J.N..

Subjects/Keywords: sensor management; resource allocation; radar beam-pointing; threat assessment; area surveillance

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APA (6^th Edition):

Katsilieris, F. (2015). Sensor management for surveillance and tracking: An operational perspective. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e

Chicago Manual of Style (16^th Edition):

Katsilieris, F. “Sensor management for surveillance and tracking: An operational perspective.” 2015. Doctoral Dissertation, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e.

MLA Handbook (7^th Edition):

Katsilieris, F. “Sensor management for surveillance and tracking: An operational perspective.” 2015. Web. 07 Mar 2021.

Vancouver:

Katsilieris F. Sensor management for surveillance and tracking: An operational perspective. [Internet] [Doctoral dissertation]. Delft University of Technology; 2015. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e.

Council of Science Editors:

Katsilieris F. Sensor management for surveillance and tracking: An operational perspective. [Doctoral Dissertation]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; urn:NBN:nl:ui:24-uuid:c290585a-8e2d-448a-9b31-52540877195e ; http://resolver.tudelft.nl/uuid:c290585a-8e2d-448a-9b31-52540877195e

25. OW YI XIAN. Route Planning Algorithms for Urban Environment.

Degree: 2012, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/36554

Subjects/Keywords: Combinatorial Optimization; Route Planning; Autonomous Agent; Traffic Modelling; Roving Sensor; Probe Allocation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

XIAN, O. Y. (2012). Route Planning Algorithms for Urban Environment. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/36554

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

XIAN, OW YI. “Route Planning Algorithms for Urban Environment.” 2012. Thesis, National University of Singapore. Accessed March 07, 2021. http://scholarbank.nus.edu.sg/handle/10635/36554.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

XIAN, OW YI. “Route Planning Algorithms for Urban Environment.” 2012. Web. 07 Mar 2021.

Vancouver:

XIAN OY. Route Planning Algorithms for Urban Environment. [Internet] [Thesis]. National University of Singapore; 2012. [cited 2021 Mar 07]. Available from: http://scholarbank.nus.edu.sg/handle/10635/36554.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

XIAN OY. Route Planning Algorithms for Urban Environment. [Thesis]. National University of Singapore; 2012. Available from: http://scholarbank.nus.edu.sg/handle/10635/36554

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

26. Soua, Ridha. Wireless sensor networks in industrial environment : energy efficiency, delay and scalability : Réseaux de capteurs sans fil en environnement industriel : économie d'énergie, délai et passage à l'échelle.

Degree: Docteur es, Informatique, 2014, Université Pierre et Marie Curie – Paris VI

URL: http://www.theses.fr/2014PA066029

►

Certaines applications industrielles nécessitent des délais de collecte déterministes et bornés, nous nous concentrons sur l'allocation conjointe de slots temporels et de canaux sans conflit… (more)

▼

Certaines applications industrielles nécessitent des délais de collecte déterministes et bornés, nous nous concentrons sur l'allocation conjointe de slots temporels et de canaux sans conflit qui minimisent la durée de collecte. Cette allocation permet aux noeuds de dormir dans n'importe quel slot où ils ne sont pas impliqués dans des transmissions. Nous calculons le nombre minimal de slots temporels nécessaire pour compléter la collecte de données brute pour un puits équipé de plusieurs interfaces radio et des demandes de trafic hétérogènes. Nous donnons également des ordonnancements optimaux qui permettent d'atteindre ces bornes optimales. Nous proposons ensuite MODESA, un algorithme centralisé d'allocation conjointe de slots et de canaux. Nous montrons l'optimalité de MODESA dans des topologies particulières. Par les simulations, nous montrons que MODESA surpasse TMCP , un ordonnancement centralisé à base de sous-arbre. Nous améliorons MODESA avec différentes stratégies d'allocation de canaux. En outre , nous montrons que le recours à un routage multi-chemins réduit le délai de collecte.Néanmoins, l'allocation conjointe de slot et de canaux doit être capable de s'adapter aux changements des demandes des noeuds (des alarmes, des demandes de trafic supplémentaires temporaires). Nous proposons AMSA , une solution d'assignation conjointe de slots et de canaux basée sur une technique incrémentale. Pour aborder la question du passage à l'échelle, nous proposons, WAVE , une solution d'allocation conjointe de slots et de canaux qui fonctionne en mode centralisé ou distribué. Nous montrons l'équivalence des ordonnancements fournis par les deux modes.

Some industrial applications require deterministic and bounded gathering delays. We focus on the joint time slots and channel assignment that minimizes the time of data collection and provides conflict-free schedules. This assignment allows nodes to sleep in any slot where they are not involved in transmissions. Hence, these schedules save the energy budjet of sensors. We calculate the minimum number of time slots needed to complete raw data convergecast for a sink equipped with multiple radio interfaces and heterogeneous nodes traffic. We also give optimal schedules that achieve the optimal bounds. We then propose MODESA, a centralized joint slots and channels assignment algorithm. We prove the optimality of MODESA in specific topologies. Through simulations, we show that MODESA is better than TMCP, a centralized subtree based scheduling algorithm. We improve MODESA with different strategies for channels allocation. In addition, we show that the use of a multi-path routing reduces the time of data collection .Nevertheless, the joint time slot and channels assignment must be able to adapt to changing traffic demands of the nodes ( alarms, additional requests for temporary traffic ) . We propose AMSA , an adaptive joint time slots and channel assignment based on incremental technical solution. To address the issue of scalability, we propose, WAVE, a distributed scheduling…

Advisors/Committee Members: Minet, Pascale (thesis director).

Subjects/Keywords: Réseaux de capteurs sans fil; Multicanal; Collecte de données; Allocation conjointe de slot et canaux; Ordonnancement sans conflit; Multi-puits; Multichannel; Wireless sensor networks; 004

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APA (6^th Edition):

Soua, R. (2014). Wireless sensor networks in industrial environment : energy efficiency, delay and scalability : Réseaux de capteurs sans fil en environnement industriel : économie d'énergie, délai et passage à l'échelle. (Doctoral Dissertation). Université Pierre et Marie Curie – Paris VI. Retrieved from http://www.theses.fr/2014PA066029

Chicago Manual of Style (16^th Edition):

Soua, Ridha. “Wireless sensor networks in industrial environment : energy efficiency, delay and scalability : Réseaux de capteurs sans fil en environnement industriel : économie d'énergie, délai et passage à l'échelle.” 2014. Doctoral Dissertation, Université Pierre et Marie Curie – Paris VI. Accessed March 07, 2021. http://www.theses.fr/2014PA066029.

MLA Handbook (7^th Edition):

Soua, Ridha. “Wireless sensor networks in industrial environment : energy efficiency, delay and scalability : Réseaux de capteurs sans fil en environnement industriel : économie d'énergie, délai et passage à l'échelle.” 2014. Web. 07 Mar 2021.

Vancouver:

Soua R. Wireless sensor networks in industrial environment : energy efficiency, delay and scalability : Réseaux de capteurs sans fil en environnement industriel : économie d'énergie, délai et passage à l'échelle. [Internet] [Doctoral dissertation]. Université Pierre et Marie Curie – Paris VI; 2014. [cited 2021 Mar 07]. Available from: http://www.theses.fr/2014PA066029.

Council of Science Editors:

Soua R. Wireless sensor networks in industrial environment : energy efficiency, delay and scalability : Réseaux de capteurs sans fil en environnement industriel : économie d'énergie, délai et passage à l'échelle. [Doctoral Dissertation]. Université Pierre et Marie Curie – Paris VI; 2014. Available from: http://www.theses.fr/2014PA066029

University of New Mexico

27. Hakim, Kamrul. Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation.

Degree: Electrical and Computer Engineering, 2013, University of New Mexico

URL: http://hdl.handle.net/1928/23116

► In this dissertation, we address the issue of collaborative information processing for diffusive source parameter estimation using wireless sensor networks (WSNs) capable of sensing in… (more)

▼ In this dissertation, we address the issue of collaborative information processing for diffusive source parameter estimation using wireless sensor networks (WSNs) capable of sensing in dispersive medium/environment, from signal processing perspective. We begin the dissertation by focusing on the mathematical formulation of a special diffusion phenomenon, i.e., an underwater oil spill, along with statistical algorithms for meaningful analysis of sensor data leading to efficient estimation of desired parameters of interest. The objective is to obtain an analytical solution to the problem, rather than using non-model based sophisticated numerical techniques. We tried to make the physical diffusion model as much appropriate as possible, while maintaining some pragmatic and reasonable assumptions for the simplicity of exposition and analytical derivation. The dissertation studies both source localization and tracking for static and moving diffusive sources respectively. For static diffusive source localization, we investigate two parametric estimation techniques based on the maximum-likelihood (ML) and the best linear unbiased estimator (BLUE) for a special case of our obtained physical dispersion model. We prove the consistency and asymptotic normality of the obtained ML solution when the number of sensor nodes and samples approach infinity, and derive the Cramer-Rao lower bound (CRLB) on its performance. In case of a moving diffusive source, we propose a particle filter (PF) based target tracking scheme for moving diffusive source, and analytically derive the posterior Cramer-Rao lower bound (PCRLB) for the moving source state estimates as a theoretical performance bound. Further, we explore nonparametric, machine learning based estimation technique for diffusive source parameter estimation using Dirichlet process mixture model (DPMM). Since real data are often complicated, no parametric model is suitable. As an alternative, we exploit the rich tools of nonparametric Bayesian methods, in particular the DPMM, which provides us with a flexible and data-driven estimation process. We propose DPMM based static diffusive source localization algorithm and provide analytical proof of convergence. The proposed algorithm is also extended to the scenario when multiple diffusive sources of same kind are present in the diffusive field of interest. Efficient power allocation can play an important role in extending the lifetime of a resource constrained WSN. Resource-constrained WSNs rely on collaborative signal and information processing for efficient handling of large volumes of data collected by the sensor nodes. In this dissertation, the problem of collaborative information processing for sequential parameter estimation in a WSN is formulated in a cooperative game-theoretic framework, which addresses the issue of fair resource allocation for estimation task at the Fusion center (FC). The framework allows addressing either resource allocation or commitment for information processing as solutions of cooperative games with underlying… Advisors/Committee Members: Jayaweera, Sudharman, Ghani, Nasir, Bridges, Patrick, Pham, Khanh.

Subjects/Keywords: Statistical signal processing; Wireless sensor network; Detection and Estimation; Source localization; Source tracking; Machine learning; Resource allocation; Cognitive radios; Game theory; Parametric estimation; Non-parametric estimation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Hakim, K. (2013). Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/23116

Chicago Manual of Style (16^th Edition):

Hakim, Kamrul. “Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation.” 2013. Doctoral Dissertation, University of New Mexico. Accessed March 07, 2021. http://hdl.handle.net/1928/23116.

MLA Handbook (7^th Edition):

Hakim, Kamrul. “Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation.” 2013. Web. 07 Mar 2021.

Vancouver:

Hakim K. Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2021 Mar 07]. Available from: http://hdl.handle.net/1928/23116.

Council of Science Editors:

Hakim K. Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/23116

University of Minnesota

28. Razavi Majomard, Seid Alireza. Distributed optimization in an energy-constrained network.

Degree: Electrical Engineering, 2010, University of Minnesota

URL: http://purl.umn.edu/59615

► We consider a distributed optimization problem whereby a network of N nodes, Sℓ, ℓ ∈ {1, . . . ,N}, wish to minimize a common… (more)

Subjects/Keywords: Convergence; Distibuted optimization,; Energy efficiency; Resource allocation; Sensor networks; Electrical Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Razavi Majomard, S. A. (2010). Distributed optimization in an energy-constrained network. (Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/59615

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Razavi Majomard, Seid Alireza. “Distributed optimization in an energy-constrained network.” 2010. Thesis, University of Minnesota. Accessed March 07, 2021. http://purl.umn.edu/59615.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Razavi Majomard, Seid Alireza. “Distributed optimization in an energy-constrained network.” 2010. Web. 07 Mar 2021.

Vancouver:

Razavi Majomard SA. Distributed optimization in an energy-constrained network. [Internet] [Thesis]. University of Minnesota; 2010. [cited 2021 Mar 07]. Available from: http://purl.umn.edu/59615.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Razavi Majomard SA. Distributed optimization in an energy-constrained network. [Thesis]. University of Minnesota; 2010. Available from: http://purl.umn.edu/59615

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

29. Thatte, Gautam. Applications of estimation and detection theory in decentralized networks.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390120/rec/863

► We explore three applications of decentralized networks in increasingly complex detection frameworks: unconstrained binary detection in computer networks, constrained binary detection in wireless sensor networks… (more)

▼ We explore three applications of decentralized networks in increasingly complex detection frameworks: unconstrained binary detection in computer networks, constrained binary detection in wireless sensor networks (WSNs), and M-ary detection in wireless body area networks (WBANs). In each of these applications, the goal is to investigate the interactions between the estimation and detection components, as well as any constrained resources.; In the first application, parametric models for anomaly detection in computer networks are developed, wherein only aggregate traffic statistics are analyzed in order to detect network anomalies. Both synthetic and real attacks are used to validate our methods, and we find that simulated attacks as low as 12% can be detected in live traffic in just a few seconds. The effect of the smart adversary, wherein attack packet-sizes are chosen to match a percentage of background traffic packet-sizes, is investigated; the proposed method is able to detect attacks with up to 71% matched traffic.; The optimal allocation of transmission power, for the estimation of a scalar parameter in a wireless sensor network, given an overall power budget constraint, is then considered. The simple star topology is first considered, after which the results are extended to the branch, tree and linear topologies, and finally these topologies’ applicability to the generalized topology case is presented. The optimal allocation policies are a function of measurement and channel noises, and evolve from sensor selection, to waterfilling, and finally to channel equalization.; The third application is activity-detection via heterogeneous sensors in a wireless body-area network. In particular, the number of samples allocated to each sensor is optimized to minimize the probability of misclassification. Using experimental data from overweight adolescent subjects, it is found that allocating a greater proportion of samples to sensors which better discriminate between certain activity-levels can result in either a lower probability of error or energy-savings ranging from 18% to 22%, in comparison to equal allocation of samples. The current activity of the subject and the performance requirements do not significantly affect the optimal allocation, but employing personalized models results in improved energy-efficiency. Furthermore, an alternate vector optimization is derived which significantly reduces the computational complexity of the original combinatorial optimization.; Finally, future directions for the work described in this dissertation are presented. Advisors/Committee Members: Mitra, Urbashi (Committee Chair), Narayanan, Shrikanth S. (Committee Member), Sha, Fei (Committee Member).

Subjects/Keywords: optimization; resource allocation; anomaly detection; sensor networks; wireless body-area networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Thatte, G. (2010). Applications of estimation and detection theory in decentralized networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390120/rec/863

Chicago Manual of Style (16^th Edition):

Thatte, Gautam. “Applications of estimation and detection theory in decentralized networks.” 2010. Doctoral Dissertation, University of Southern California. Accessed March 07, 2021. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390120/rec/863.

MLA Handbook (7^th Edition):

Thatte, Gautam. “Applications of estimation and detection theory in decentralized networks.” 2010. Web. 07 Mar 2021.

Vancouver:

Thatte G. Applications of estimation and detection theory in decentralized networks. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2021 Mar 07]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390120/rec/863.

Council of Science Editors:

Thatte G. Applications of estimation and detection theory in decentralized networks. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390120/rec/863

Delft University of Technology

30. De Groot, T.H. Mission-driven Resource Management for Reconfigurable Sensing Systems.

Degree: 2015, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84

► The spectrum of threats imposed upon modern society has drastically widened in the last decades. One of the required security means is sensor systems. There… (more)

▼ The spectrum of threats imposed upon modern society has drastically widened in the last decades. One of the required security means is sensor systems. There exist many types of sensors and their capabilities vary, but some of them are reconfigurable and able to provide many functions. Such sensors provide at different time instances a wide range of options. These options result in too many choices for humans to consider and they are usually defined in terms that are too strongly focused on complex aspects of sensor technology. Therefore, an automatic tool is required that can control such systems. However, there remain various fundamental challenges in the field of resource allocation in general and for sensor management specifically. The majority of current solutions is driven by the idea that execution of system tasks and/or sensing characteristics have to be optimized. A better option is to develop and configure systems in such a way that they contribute as much as possible to the end-user's mission. This is obtained with the following cross-disciplinary approach. The strategy of top-down thinking is used to first investigate what various types of end-users consider important, the hypothesis of expected-utility is used to describe mission success expectations, and the observe, orient, decide, and act loop is used to determine on a higher level the required functions and then how sensor technology can contribute to this. The reasoning of falsifiability is used to verify (i.e. self-critical) the concepts and develop supplementary solutions. The ratio between the expected success of the mission when using the developed approach and this expectation when using traditional methods is greater than or equal to 1. Thus, the performance cannot be worse, is at least equal, and potentially much better. The resource management solutions are demonstrated on a high operational level, because this allows to create a context in which the optimization can be discussed with end-users. End-users found the developed resource management solution very applicable for allocating resources during fictional deployment and operational phases. Because of their vivid interest, many focused questions, comments and compliments confirming the added value of the mission-driven approach, it can be concluded that the developed solution matches their operational understanding and needs. The developed mission-driven resource management solution directly defines the end-user's mission as the optimization objective for reconfigurable sensing systems. As a result, the process is not driven by technical characteristics, lookup tables, rules-of-thumb, task priorities and/or artificial quality measures, but by mission success. Any decision (e.g. trade-offs, graceful degradation) can be made based on a single objective function, making the optimization clear and transparent. The result of permanent maximization of mission success expectations is that systems adapt automatically, quickly and accurately to fast changing missions, environments and threats. Advisors/Committee Members: Yarovoy, A.G..

Subjects/Keywords: resource allocation; sensor management; objective functions; reconfigurable systems; multi-functional sensors

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

De Groot, T. H. (2015). Mission-driven Resource Management for Reconfigurable Sensing Systems. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84

Chicago Manual of Style (16^th Edition):

De Groot, T H. “Mission-driven Resource Management for Reconfigurable Sensing Systems.” 2015. Doctoral Dissertation, Delft University of Technology. Accessed March 07, 2021. http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84.

MLA Handbook (7^th Edition):

De Groot, T H. “Mission-driven Resource Management for Reconfigurable Sensing Systems.” 2015. Web. 07 Mar 2021.

Vancouver:

De Groot TH. Mission-driven Resource Management for Reconfigurable Sensing Systems. [Internet] [Doctoral dissertation]. Delft University of Technology; 2015. [cited 2021 Mar 07]. Available from: http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84.

Council of Science Editors:

De Groot TH. Mission-driven Resource Management for Reconfigurable Sensing Systems. [Doctoral Dissertation]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; urn:NBN:nl:ui:24-uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84 ; http://resolver.tudelft.nl/uuid:a9a9b80c-1ceb-4c2a-be9a-67cf532e7f84

Open Access Theses and Dissertations